I have a AI model embodiment project. POC is pretty far along. I need help to accelerate it to the finish:
https://www.notion.so/Mind-Machine-Learning-2707060e25ec43978884b5e718c0c0d8
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I have a AI model embodiment project. I need help to accelerate it:
https://www.notion.so/Mind-Machine-Learning-2707060e25ec43978884b5e718c0c0d8
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Listen to the podcast episode with Nicklas Hansen from UC San Diego where we discuss adapting reinforcement learning policies during deployment, why algorithms don't drive research progress, and much more!
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Hello everyone,
I wanted to share a new video I just released on YouTube here called "Adversarial Discriminative Domain Adaptation (ADDA) Paper Explained." It's a deep dive into the concepts and techniques of ADDA, which is a powerful method for adapting machine learning models to new domains. If you're interested in machine learning and domain adaptation, I think you'll really enjoy it.
Thanks for considering giving it a watch, and I hope you find it helpful! As always, feedback is extremely welcomed!
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Today, we’re happy to announce updates to our Amazon SageMaker Experiments capability of Amazon SageMaker that lets you organize, track, compare and evaluate machine learning (ML) experiments and model versions from any integrated development environment (IDE) using the SageMaker Python SDK or boto3, including local Jupyter Notebooks. Machine learning (ML) is an iterative process. When solving […]
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Proper estimation of predictive uncertainty is fundamental in applications that involve critical decisions. Uncertainty can be used to assess the reliability of model predictions, trigger human intervention, or decide whether a model can be safely deployed in the wild. We introduce Fortuna, an open-source library for uncertainty quantification. Fortuna provides calibration methods, such as conformal […]
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Amazon SageMaker Training Managed Warm Pools gives you the flexibility to opt in to reuse and hold on to the underlying infrastructure for a user-defined period of time. This is done while also maintaining the benefit of passing the undifferentiated heavy lifting of managing compute instances in to Amazon SageMaker Model Training. In this post, […]
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In an increasingly data-centric world, enterprises must focus on gathering both valuable physical information and generating the information that they need but can’t easily capture. Data access, regulation, and compliance are an increasing source of friction for innovation in analytics and artificial intelligence (AI). For highly regulated sectors such as Financial Services, Healthcare, Life Sciences, […]
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Developing and training successful machine learning (ML) fraud models requires access to large amounts of high-quality data. Sourcing this data is challenging because available datasets are sometimes not large enough or sufficiently unbiased to usefully train the ML model and may require significant cost and time. Regulation and privacy requirements further prevent data use or […]
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Listen to the podcast episode with Nicklas Hansen from UC San Diego where we discuss adapting reinforcement learning policies during deployment, why algorithms don't drive research progress, and much more!
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A comparative analysis of DL techniques ⚖️
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And how to use them effectively anyway
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There’s no denying that the Internet of Things (IoT) is here to stay. It has changed how we live, work and play, making our lives more…
( 13
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Hello everyone,
I wanted to share a new video I just released on YouTube here called "Adversarial Discriminative Domain Adaptation (ADDA) Paper Explained." It's a deep dive into the concepts and techniques of ADDA, which is a powerful method for adapting machine learning models to new domains. If you're interested in machine learning and domain adaptation, I think you'll really enjoy it.
Thanks for considering giving it a watch, and I hope you find it helpful! As always, feedback is extremely welcomed!
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Data for All by John K. Thompson covers data in the most holistic sense. For someone that is not involved in data science, defining the term data can be difficult. If data science is the study of data, what exactly is being studied? Thompson starts at the beginning when defining a term that has increased… Read More »Taking Control of Your Online Presence with Data for All
The post Taking Control of Your Online Presence with Data for All appeared first on Data Science Central.
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But the harm from a discriminatory AI system can be minimized if the advice it delivers is properly framed, an MIT team has shown.
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A national initiative in semiconductors provides a once-in-a-generation opportunity to energize manufacturing in the U.S. The CHIPS and Science Act includes an $13 billion R&D investment in the chip industry. Done right, it’s a recipe for bringing advanced manufacturing techniques to every industry and cultivating a highly skilled workforce. The semiconductor industry uses the most Read article >
The post Accelerated Computing, AI and Digital Twins: A Recipe for US Manufacturing Leadership appeared first on NVIDIA Blog.
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To make transportation safer, autonomous vehicles (AVs) must have processes and underlying systems that meet the highest standards. NVIDIA DRIVE OS is the operating system for in-vehicle accelerated computing powered by the NVIDIA DRIVE platform. DRIVE OS 5.2 is now functional safety-certified by TÜV SÜD, one of the most experienced and rigorous assessment bodies in Read article >
The post Safe Travels: NVIDIA DRIVE OS Receives Premier Safety Certification appeared first on NVIDIA Blog.
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Project repo: https://github.com/Linyou/taichi-ngp-renderer
Instant NGP is a novel view synthesis framework that reduces the model training for a single scene from hours to a few seconds.
This project is a CUDA-free instant NGP renderer implemented in Taichi. Supported by Taichi's built-in GUI system, the project supports real-time rendering and camera interaction while consuming less than 1GB of VRAM. It also contains a fully fused multilayer perceptron (MLP) enabled by the SharedArray feature.
The following are some pre-trained NeRF synthesis scenes:
https://preview.redd.it/kdlwzps1uy5a1.png?width=1236&format=png&auto=webp&s=f803745aa67f072bf04ebc178b5f0da8cabb3e77
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https://youtu.be/0fEG0ClkIdo
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We are thrilled to announce the availability of the LightOn Lyra-fr foundation model for customers using Amazon SageMaker. LightOn is a leader in building foundation models specializing in European languages. Lyra-fr is a state-of-the-art French language model that can be used to build conversational AI, copywriting tools, text classifiers, semantic search, and more. You can […]
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While the weather outside may or may not be frightful this holiday season, new games on GeForce NOW each week make every GFN Thursday delightful. It doesn’t matter whether you’re on the naughty or nice list. With over 1,400 titles streaming from the cloud, there’s something for everyone to play across nearly all of their Read article >
The post Have a Holly, Jolly Holiday Streaming Top Titles on GeForce NOW appeared first on NVIDIA Blog.
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Programming is way more fun when you learn/work with someone. Help each other, ask questions, brainstorm, etc. There is just so much benefit to joining a community when you are in this field, especially when you cannot find the question you are looking for on stack overflow! 😉
This is the same thing with AI, which is why I created a Discord server two years ago. Where anyone learning or working in the field could come and share their projects, learn together, work together, and much more. The community is now close to 30'000 members, which is unbelievable!
Likewise, if you are just tinkering with ChatGPT, DALLE or MidJourney. Come join us and share your creations and the projects/companies/products you build (or find your next co-founder)!
So glad to see it growing and see everyone so active. We have partnered with Towards AI to provide qualitative events, live streams, a community newsletter, free courses following recent developments, job opportunities, and more!
p.s. we are always looking for contributors to our different projects (answer questions, moderation, help with open-source resources, podcast hosts...). Please reach out to me if interested! We also have some budget or cool merch we can send out :)
Come join us if you are in the AI field !
https://discord.gg/learnaitogether
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If you operate in a country with multiple official languages or across multiple regions, your audio files can contain different languages. Participants may be speaking entirely different languages or may switch between languages. Consider a customer service call to report a problem in an area with a substantial multi-lingual population. Although the conversation could begin […]
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Enterprises need to translate business-critical content such as marketing materials, instruction manuals, and product catalogs across multiple languages to communicate with a global audience of customers, partners, and stakeholders. Identifying the source language in each document before calling a translate job creates complexities and adds another step to your workflow. For example, an international product […]
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CAST Visiting Artist Andreas Refsgaard engages the MIT community in the ethics and play of creative coding.
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You can read the release notes here: https://github.com/Farama-Foundation/Gymnasium/releases/tag/v0.27.0. You can upgrade from 0.26 without any changes unless you're doing something very uncommon; this is how releases will generally be going forward.
If you're unfamiliar with the maintenance of OpenAI's Gym package transitioning to Gymnasium, you can take a look at the full back story here: https://farama.org/Announcing-The-Farama-Foundation
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We, the KerasCV team, just published a new tutorial that teaches you to train new embeddings for specific concepts in StableDiffusion via textual inversion! Let us know what you think!
https://keras.io/examples/generative/fine_tune_via_textual_inversion/
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Digital transformation is the process through which companies get their businesses embedded with advanced technologies for driving fundamental change. The benefits? Greater agility, increased efficiency, and unlocking new opportunities and values for employees shareholders, and customers. Global spending on digital transformation is expected to reach a valuation of 1.6 million by the end of the… Read More »Digital Transformation in Software Development – Why is the Change Imperative?
The post Digital Transformation in Software Development – Why is the Change Imperative? appeared first on Data Science Central.
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How much did it cost an identity thief in 2022 to buy some of your personally identifiable information (PII)? PrivacyAffairs.com reported that a thief could buy a compromised credit card number along with its three-digit security code for as little as $15. Similarly, a fraudster could buy a hacked Gmail account for $65 in 2022,… Read More »Thoughts on personal data protection trends and outlook 2022-23
The post Thoughts on personal data protection trends and outlook 2022-23 appeared first on Data Science Central.
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Web app development offers a number of advantages to businesses and enterprises, such as better user experience, higher scalability, and reduced costs. In this section, we have listed a few ways web app development can boost your retail company and other types of businesses. So, without further ado, let's begin!
The post How a Custom Web Application Can Help Grow Your Business appeared first on Data Science Central.
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It’s that time of the year again, and I have a prediction. We could see the rise of a low-code data scientist based on current low-code updates, increased demand for data science skills, and also the incorporation of generative tools like chatGPT into low-code tools. Let me expand more. The idea of low code itself… Read More »2023 prediction: Could we see the rise of the low code data scientist in 2023?
The post 2023 prediction: Could we see the rise of the low code data scientist in 2023? appeared first on Data Science Central.
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Manually inspecting data quality and cleaning data is a painful and time-consuming process that can take a huge chunk of a data scientist’s time on a project. According to a 2020 survey of data scientists conducted by Anaconda, data scientists spend approximately 66% of their time on data preparation and analysis tasks, including loading (19%), cleaning (26%), […]
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Organizations of all sizes are striving to grow their business, improve efficiency, and serve their customers better than ever before. Even though the future is uncertain, a data-driven, science-based approach can help anticipate what lies ahead to successfully navigate through a sea of choices. Every industry uses time series forecasting to address a variety of […]
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Chronomics is a tech-bio company that uses biomarkers—quantifiable information taken from the analysis of molecules—alongside technology to democratize the use of science and data to improve the lives of people. Their goal is to analyze biological samples and give actionable information to help you make decisions—about anything where knowing more about the unseen is important. […]
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After three years of uncertainty caused by the pandemic and its post-lockdown hangover, enterprises in 2023 — even with recession looming and uncertainty abounding — face the same imperatives as before: lead, innovate and problem solve. AI is becoming the common thread in accomplishing these goals. On average, 54% of enterprise AI projects made it Read article >
The post 2023 Predictions: AI That Bends Reality, Unwinds the Golden Screw and Self-Replicates appeared first on NVIDIA Blog.
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Banks require more than cash in the vault these days, they also need accelerated computing in the back room. “The boost we’re getting with GPUs not only significantly improved our performance at the same cost, it helped us redefine our business and sharpen our focus on customers,” said Marco Airoldi, who’s been head of financial Read article >
The post Ferrari of Finance: Accelerated Computing Drives Milan Bank Forward appeared first on NVIDIA Blog.
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The short film I Am Not Afraid! by creative studio Fabian&Fred embodies childlike wonder, curiosity and imagination this week In the NVIDIA Studio.
The post Face All Fears With Creative Studio Fabian&Fred This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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Hi there! Just want to share some tips on how to craft the right chatbot when everyone talks about ChatGPT. First of all, a custom chatbot company or any chatbot platform that does custom integration can integrate your chatbot with ChatGPT instead of Dialogflow. So yeah, you can have an outstanding customer service chatbot that can handle other topics. However, the right question is should you?
If you want a chatbot that does solve issues, not creates more, you must start with the proper requirements. Well-structured chatbot requirements lay the right foundation for your future chatbot development. ChatGPT is just one of the options of how you can use AI and automation and may be not the best depending on your budget and goals.
Your chatbot requirements should include these steps:
- …
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The benefits of automation are improved efficiency, productivity, and quality while reducing costs. But there are also potential drawbacks, such as job loss and reduced flexibility. Therefore, when deciding whether or not to automate a task, it’s essential to weigh the pros and cons carefully. In this article, we want to consider how automation affects… Read More »Top 5 Industries That Will Be Transformed By Automation This Decade
The post Top 5 Industries That Will Be Transformed By Automation This Decade appeared first on Data Science Central.
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Amazon Lookout for Vision provides a machine learning (ML)-based anomaly detection service to identify normal images (i.e., images of objects without defects) vs anomalous images (i.e., images of objects with defects), types of anomalies (e.g., missing piece), and the location of these anomalies. Therefore, Lookout for Vision is popular among customers that look for automated […]
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Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to discover insights from text. Amazon Comprehend provides customized features, custom entity recognition, custom classification, and pre-trained APIs such as key phrase extraction, sentiment analysis, entity recognition, and more so you can easily integrate NLP into your applications. We recently added […]
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Details in the twitter thread:
https://twitter.com/martin_gorner/status/1599755684941557761
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To Try it Now:
If you want to get started straightaway, you trust my code and you're setup on CUDA (or have a virtual machine/Colab machine/etc), in the terminal, you can just run git clone https://github.com/tysam-code/hlb-CIFAR10 && cd hlb-CIFAR10 && python -m pip install -r requirements.txt && python main.py, and you should see things training straightaway. If you just want to browse the repo, feel free to head on over to https://github.com/tysam-code/hlb-CIFAR10.
About the Project:
Hi there,
I've been working in the modern instantiation of this field for just over half a decade or so, and have always sort of wanted a good testbench to develop neural network research on. Most of the codebases I've worked with over the years have been very ad-hoc or not very close to the bleeding edg…
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For more than six years, Microsoft Research has been honored to develop the Soundscape research project, which was designed to deliver information about a person’s location and points of interest and has guided individuals to desired places and in unfamiliar spaces using augmented-reality and three-dimensional audio. While not a traditional turn-by-turn navigation mobile app, the […]
The post Microsoft Soundscape – New Horizons with a Community-Driven Approach appeared first on Microsoft Research.
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Hi,
can it be implemented in the task-level scripts (i.e. ant.py, FrankaCabinet.py etc.) like this?
def pre_physics_step(self, actions): ... mask = [1,0,0,0,1] actions = actions * mask
This would prevent the computed actions to be applied, but would not "teach" the agent that the masked actions are invalid, right?
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Does anyone know of a document editor in which you can dictate text with OpenAI Whisper? Like similar to Google Docs but obviously with fewer features—and not for writing code, just normal text. I would like to use it!
I am aware of the HuggingFace Spaces (e.g. https://huggingface.co/spaces/openai/whisper) and Colab notebooks where you can use Whisper, but I don't know of any straight up writing tools.
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I've been trying to empirically assess what biases ChatGPT has about certain things when I give it minimal information about what I want. The approach that I've tried is to repeatedly make a request in a new thread, look at the distribution of key words, phrases or word/phrase categories across its responses, and compare these distributions across different requests. E.g. one set of requests that I've made have the structure:
Make up a realistic story about (a|an) person. Include their name and a description of their appearance.
I collected 10 responses for each of the following s: "intelligent", "unintelligent", "devious", "trustworthy", "peaceful", "violent", and did the same for 2 other request structures that request similar information, using the same set of <TRAI…
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AI Weirdness: the strange side of machine learning
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https://www.youtube.com/watch?v=ck58bVZYKlw
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I used Dream! by Wombo
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As more data move to the cloud and more organizations embrace cloud computing, it is clear that there is a corresponding need to improve cybersecurity strategies. One of the improvements being considered is security-as-code (SaC), which Google has been promoting actively. Many organizations have been supportive of this relatively nascent but promising cybersecurity approach. In… Read More »Security as Code: Creating a New Cybersecurity Paradigm Amid Growing Cloud Use
The post Security as Code: Creating a New Cybersecurity Paradigm Amid Growing Cloud Use appeared first on Data Science Central.
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Here is a podcast episode with Jack Parker-Holder from DeepMind where we discuss open-endedness, evolving agents and environments, offline learning with world models, and much more!
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Here is a podcast episode with Jack Parker-Holder from DeepMind where we discuss open-endedness, evolving agents and environments, offline learning with world models, and much more!
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Here is a podcast episode with Jack Parker-Holder from DeepMind where we discuss open-endedness, evolving agents and environments, offline learning with world models, and much more!
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New HuggingFace blog post on RLHF: https://huggingface.co/blog/rlhf
Motivated by ChatGPT and the lack of conceptually focused resources on the topic.
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Hey folks,
We interviewed Petar Veličković at NeurIPS last week here -- https://www.youtube.com/watch?v=1lkdWduuN14
Categories (Cats for AI) [00:00:00]
Algorithmic Reasoning [00:14:44]
Extrapolation [00:19:09]
Ishan Misra Skit [00:27:50]
Graphs (Expander Graph Propagation) [00:29:18]
References
MLST#60 Geometric Deep Learning Blueprint (Special Edition)
https://www.youtube.com/watch?v=bIZB1hIJ4u8
Categories for AI
https://cats.for.ai/
Organised by:
Andrew Dudzik - DeepMind
Bruno Gavranović - University of Strathclyde
João Guilherme Araújo - Cohere / Universidade de São Paulo
Petar Veličković - DeepMind / University of Cambridge
Pim de Haan - University of Amsterdam / Qualcomm AI Research
[Petar Veličković] Graph Attention Networks
https://arxiv.org/abs/1…
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I have a big data set that I would like to train on, so my thought is that I am going to do distributed training , but I am currently setting up MultiWorkerMirroredStrategy on tensorflow and i find it hard to use even with https://github.com/tensorflow/ecosystem/tree/master/spark/spark-tensorflow-distributor
https://www.tensorflow.org/api_docs/python/tf/distribute/experimental/MultiWorkerMirroredStrategy
So I was wondering if there are other recommended way of doing NN training if you have big dataset?
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https://languagetool.org/ is an open-source language model.
Do you know what approach did they use to implement the language model?
I am curious because I have the desire to bring the same functionality to my native language and would like to get some know-how.
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TLDR : People uses dreambooth or textual inversion to fine-tune their own stable diffusion models. There is a better way: Use LoRA to fine-tune twice as faster, with end result being less than 4MB. Dedicated CLI, package, and pre-trained models are available at https://github.com/cloneofsimo/lora
fine tuned LoRA on pixar footages. Inspired by modern-disney-diffusion
fine tuned LoRA on pop-art style
Thanks to the generous work of Stability AI and Huggingface, so many people have enjoyed fine-tuning stable diffusion models to fit their needs and generate higher fidelity images. However, the fine-tuning process is very slow, and it is not easy to find a good balance between the number of steps and the quality of the results.
Also, the final results (fully fined-tuned model) is ra…
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Hi guys, I have recently developed an AI snake game with a more sophisticated reward function to win the game. The snake is rewarded not only for eating, but also for simply staying alive, which gets harder and harder as the snake gets longer.
https://youtu.be/cm3V1y_osbM
Please let me know what you think? Is there a simpler way to beat the game with reinforcement learning?
Here is the last iteration before the Snake wins the game. Longer version can be found on Youtube: https://youtu.be/cm3V1y_osbM
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Data preparation is a principal component of machine learning (ML) pipelines. In fact, it is estimated that data professionals spend about 80 percent of their time on data preparation. In this intensive competitive market, teams want to analyze data and extract more meaningful insights quickly. Customers are adopting more efficient and visual ways to build […]
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Across all industries, machine learning (ML) models are getting deeper, workflows are getting more complex, and workloads are operating at larger scales. Significant effort and resources are put into making these models more accurate since this investment directly results in better products and experiences. On the other hand, making these models run efficiently in production […]
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In this post, we show how to train, deploy, and predict natural disaster damage with Amazon SageMaker with geospatial capabilities. We use the new SageMaker geospatial capabilities to generate new inference data to test the model. Many government and humanitarian organizations need quick and accurate situational awareness when a disaster strikes. Knowing the severity, cause, […]
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Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning (ML) models based on your data, while allowing you to maintain full control and visibility. Autopilot can also deploy trained models to real-time inference endpoints automatically. If you have workloads with spiky or unpredictable traffic patterns that can tolerate cold starts, then deploying […]
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Microsoft is home to a diverse team of researchers focused on supporting a healthy global society, including finding ways technology can address human rights problems affecting the most vulnerable populations around the world. With a multi-disciplinary background in human-computer interaction, data science, and the social sciences, the research team partners with community, governmental, and nongovernmental organizations to create open technologies that enable scalable responses to such challenges.
The post IOM and Microsoft release first-ever differentially private synthetic dataset to counter human trafficking appeared first on Microsoft Research.
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It’s a wild GFN Thursday — The Witcher 3: Wild Hunt next-gen update will stream on GeForce NOW day and date, starting next week. Today, members can stream new seasons of Fortnite and Genshin Impact, alongside eight new games joining the library. In addition, the newest GeForce NOW app is rolling out this week with Read article >
The post The Hunt Is On: ‘The Witcher 3: Wild Hunt’ Next-Gen Update Coming to GeForce NOW appeared first on NVIDIA Blog.
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As the autonomous vehicle industry enters the next year, it will start navigating into even greater technology frontiers. Next-generation vehicles won’t just be defined by autonomous driving capabilities. Everything from the design and production process to the in-vehicle experience is entering a new era of digitization, efficiency, safety and intelligence. These trends arrive after a Read article >
The post ‘23 and AV: Transportation Industry to Drive Into Metaverse, Cloud Technologies appeared first on NVIDIA Blog.
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PROOF: https://i.redd.it/8skvttie6j4a1.png
We’re part of the research team behind CICERO, Meta AI’s latest research in cooperative AI. CICERO is the first AI agent to achieve human-level performance in the game Diplomacy. Diplomacy is a complex strategy game involving both cooperation and competition that emphasizes natural language negotiation between seven players. Over the course of 40 two-hour games with 82 human players, CICERO achieved more than double the average score of other players, ranked in the top 10% of players who played more than one game, and placed 2nd out of 19 participants who played at least 5 games. Here are some highlights from our recent announcement:
NLP x RL/Planning: CICERO combines techniques in NLP and RL/planning, by coupling a controllable dialogue modul…
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In previous blog post, we described an end-to-end identity verification solution in a single AWS Region. The solution uses the Amazon Rekognition APIs DetectFaces for face detection and CompareFaces for face comparison. We think of those APIs as stateless APIs because they don’t depend on an Amazon Rekognition face collection. They’re also idempotent, meaning repeated […]
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The success of any machine learning (ML) pipeline depends not just on the quality of model used, but also the ability to train and iterate upon this model. One of the key ways to improve an ML model is by choosing better tunable parameters, known as hyperparameters. This is known as hyperparameter optimization (HPO). However, […]
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Time to tackle one of the most challenging tasks for aspiring movie makers — creating aesthetically pleasing visual effects — courtesy of visual effects artist and filmmaker Jay Lippman this week In the NVIDIA Studio.
The post Visual Effects Artist Jay Lippman Takes Viewers Behind the Camera This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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From rapidly fluctuating demand to staffing shortages and supply chain complexity, enterprises have navigated numerous challenges the past few years. Many companies seeking strong starts to 2023 are planning to use AI and accelerated computing to drive growth while saving costs. To support these early adopters — as well as those just beginning their AI Read article >
The post License for the AI Autobahn: NVIDIA AI Enterprise 3.0 Introduces New Tools to Speed Success appeared first on NVIDIA Blog.
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Deutsche Bank Wednesday announced a partnership with NVIDIA to accelerate the use of AI and machine learning in the financial services sector. The announcement follows months of testing to explore use cases that could support the bank’s strategic ambitions to 2025 and beyond. “Accelerated computing and AI are at a tipping point, and we’re bringing Read article >
The post Banking on AI: Deutsche Bank, NVIDIA to Accelerate Adoption of AI for Financial Services appeared first on NVIDIA Blog.
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Training, testing and validating autonomous vehicles requires a continuous pipeline — or data factory — to introduce new scenarios and refine deep neural networks. A key component of this process is simulation. AV developers can test a virtually limitless number of scenarios, repeatably and at scale, with high-fidelity, physically based simulation. And like much of Read article >
The post Hittin’ the Sim: NVIDIA’s Matt Cragun on Conditioning Autonomous Vehicles in Simulation appeared first on NVIDIA Blog.
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Many UX designers consider several value of qualitative research in a comparative user research study design directions and research methods for their designs. But in a world where user expectations are rising, competition is high, and design trends change frequently. It’s important to stay ahead of the curve. A lot of the time designers choose… Read More »The value of qualitative research in a comparative user research study
The post The value of qualitative research in a comparative user research study appeared first on Data Science Central.
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Here in the Pacific Northwest, winter days are short and chilly, if not as cold as it is further inland. A day ago, the fir trees were covered with snow, but a brief warm respite before the next incoming storm system has melted much of it.
The post DSC Weekly 6 December 2022 – Prompting Winter appeared first on Data Science Central.
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Blockchains are intriguing to investors as it is a new technique with the potential to drastically cut transaction costs. Blockchains allow for secure, direct transactions between an unknown number of users who may or may not trust one another. With all the progress that has been made since blockchain’s inception, it can be easy to… Read More »What will be the Top Blockchain Implementation Challenges In 2023?
The post What will be the Top Blockchain Implementation Challenges In 2023? appeared first on Data Science Central.
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Blockchain is one of the hot words this year, but it is also one of the least understood. Blockchain is a robust technical innovation that can do more for you than the cryptocurrency that often uses it. Understanding the benefits of blockchain technology is immensely helpful in determining whether it will benefit your business. From… Read More »How Blockchain Technology Revolutionizes Businesses to Boost Revenue
The post How Blockchain Technology Revolutionizes Businesses to Boost Revenue appeared first on Data Science Central.
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The collapse of Sam Bankman-Fried’s crypto empire, FTX, has been stunning. Just a few weeks ago, the firm was one of the top players in the industry. Bankman-Fried was being compared to JP Morgan and Warren Buffett. He had the financial backing of some of the world’s top firms, like Sequoia and BlackRock. He ranked… Read More »FTX Implosion Highlights the Importance of Conversational AI
The post FTX Implosion Highlights the Importance of Conversational AI appeared first on Data Science Central.
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I have a fine-tuned Stable Diffusion Model and would like to host it to make it publicly available. Both options (GPU, CPU) seem to be problematic.
I can't find a "cheap" GPU hosting platform. AWS etc. are all > 200$ per month and they have no serverless option (only found banana.dev which seems to have relatively limited flexibility)
CPU seems to be too slow for inference
I am currently running the model on my notebook CPU with 35s/it which is way too slow. Is it possible to host a Stable Diffusion on CPU with close to real-time responses (< 60s for ~100 inference steps) or is there a "cheap" GPU hosting platform I couldn't find yet?
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Hello everyone,
I made a small codebase creatively called Whisperer to create a text-audio dataset with OpenAI's Whisper automatically.
Key Features
Audio splits on silences
Audio splitting is configurable
The dataset creation is done so that it follows Gaussian-like distributions on clip length. Which, in turn, can lead to Gaussian-like distributions on the rest of the dataset statistics. Of course, this is highly dependent on your audio sources. See Notebook plots
Leverages the GPUs available on your machine. GPUs can be set explicitly if you only want to use some.
PS:
I'll make sure to reply to any bugs/issues/criticism quickly.
Thank you for your attention.
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I realize it's limited now, but I think with more refinement (and especially when gpt4 comes out), this approach will prove very useful: https://twitter.com/doodlestein/status/1599551670140051458
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Introduction
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Globally, there has been an accelerated shift toward frictionless digital user experiences. Whether it’s registering at a website, transacting online, or simply logging in to your bank account, organizations are actively trying to reduce the friction their customers experience while at the same time enhance their security, compliance, and fraud prevention measures. The shift toward […]
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Microsoft is proud to be a platinum sponsor of the 36th annual conference on Neural Information Processing Systems (NeurIPS), which is widely regarded as the world’s most prestigious research conference on artificial intelligence and machine learning. Microsoft has a strong presence at NeurIPS again this year, with more than 150 of our researchers participating in the […]
The post NeurIPS 2022: Seven Microsoft Research Papers Selected for Oral Presentations appeared first on Microsoft Research.
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For every minute that a stroke is left untreated, the average patient loses nearly 2 million neurons. This means that for each hour in which treatment fails to occur, the brain loses as many neurons as it does in more than three and a half years of normal aging. With one of the world’s first Read article >
The post AI at the Point of Care: Startup’s Portable Scanner Diagnoses Brain Stroke in Minutes appeared first on NVIDIA Blog.
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Here is the review link https://openreview.net/forum?id=nN3aVRQsxGd
Title: How Powerful are K-hop Message Passing Graph Neural Networks
Authors: Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang
The reviews are open. The paper's four review scores were 3, 4, 5, and 6, and only 6 was weak accept. This is not only far below the NeurIPS acceptance line (5.75 score), but even lower than the requirement for rejected papers to be transferred to AAAI. How to objectively evaluate the quality of the paper? Why was this paper accepted?
While the ac give the reason in the meta-review to say the reviewers are outdated. Actually, through tracking the rebuttal process, we can clearly see that reviewers and authors discussed many rounds and reviewers said concerns are not addressed. Why AC forcefully gave the acceptance????
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yes, i am surprises to see human like voice over tool for everybody, check it out here
https://digitechcos.com/a-natural-human-like-voiceover-software-for-the-creators-speechelo/
https://preview.redd.it/txnwzz2hbx3a1.png?width=1080&format=png&auto=webp&s=4b15118d202a55ea9f3d0651b69b6b09bdc64d69
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This blog demonstrates the different ways in which we can optimize the latest state-of-the-art YOLO V7. This blog also how we can downscale the backbone of the network as per the computational and accuracy needs.
https://medium.com/geekculture/all-about-yolo-v7-optimization-using-model-scaling-to-trade-off-accuracy-and-computation-e80adfff9d62
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I want to share that I have been generating a neural network using GPT over the past two days.
Here are links to the Autoencoder and VAE for audio, the code that GPT generated:
https://github.com/nikuson/AudioVAE
https://github.com/nikuson/Audio-Autoencoder
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Hi everyone,
I'm annoyed by the amount of code required to trainer a transformer with a huggingface dataset (compute_metrics, data_collators, etc.)
So I made this library: https://github.com/sileod/tasknet
You just have to map the HF dataset to pre-defined templates, and tasknet manages the interface between HF datasets and HF Trainer. It also enables multi-task learning.
I would be glad to have some feedback. Thanks
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“Intelligent document processing (IDP) solutions extract data to support automation of high-volume, repetitive document processing tasks and for analysis and insight. IDP uses natural language technologies and computer vision to extract data from structured and unstructured content, especially from documents, to support automation and augmentation.” – Gartner The goal of Amazon’s intelligent document processing (IDP) […]
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More than 75 million people speak Telugu, predominantly in India’s southern regions, making it one of the most widely spoken languages in the country. Despite such prevalence, Telugu is considered a low-resource language when it comes to speech AI. This means there aren’t enough hours’ worth of speech datasets to easily and accurately create AI Read article >
The post Speech AI Expands Global Reach With Telugu Language Breakthrough appeared first on NVIDIA Blog.
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Hello,
Recently I worked on a recommendation system for a media company, that helped us increase engagement. I have written an article summarizing how we setup the experiments and measured statistically the performance.
Enjoy the article and let me know if you have any questions !
https://medium.com/@kaislar17/measure-machine-learning-models-live-performance-through-a-b-testing-7398f0a3edcc
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Amazon SageMaker JumpStart is the Machine Learning (ML) hub of SageMaker providing pre-trained, publicly available models for a wide range of problem types to help you get started with machine learning. JumpStart also offers example notebooks that use Amazon SageMaker features like spot instance training and experiments over a large variety of model types and […]
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According to a 2020 survey of data scientists conducted by Anaconda, data preparation is one of the critical steps in machine learning (ML) and data analytics workflows, and often very time consuming for data scientists. Data scientists spend about 66% of their time on data preparation and analysis tasks, including loading (19%), cleaning (26%), and […]
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Recently, the Amazon SageMaker Studio launched an easy way to run notebooks as batch jobs that can run on a recurring schedule. Amazon SageMaker Studio Lab also supports this feature, enabling you to run notebooks that you develop in SageMaker Studio Lab in your AWS account. This enables you to quickly scale your machine learning […]
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Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps, including preparing data and building, training, and deploying models. Within an Amazon SageMaker Domain, users can provision a personal Amazon SageMaker Studio IDE application, which […]
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Amazon SageMaker now allows you to compare the performance of a new version of a model serving stack with the currently deployed version prior to a full production rollout using a deployment safety practice known as shadow testing. Shadow testing can help you identify potential configuration errors and performance issues before they impact end-users. With […]
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As companies are increasingly adopting machine learning (ML) for their mainstream enterprise applications, more of their business decisions are influenced by ML models. As a result of this, having simplified access control and enhanced transparency across all your ML models makes it easier to validate that your models are performing well and take action when […]
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Administrators of machine learning (ML) workloads are focused on ensuring that users are operating in the most secure manner, striving towards a principal of least privilege design. They have a wide variety of personas to account for, each with their own unique sets of needs, and building the right sets of permissions policies to meet […]
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The world is at increasing risk of global food shortage as a consequence of geopolitical conflict, supply chain disruptions, and climate change. Simultaneously, there’s an increase in overall demand from population growth and shifting diets that focus on nutrient- and protein-rich food. To meet the excess demand, farmers need to maximize crop yield and effectively […]
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Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to perform every step of the ML workflow, from preparing data to building, training, tuning, and deploying models. To access SageMaker Studio, Amazon SageMaker Canvas, or other Amazon ML environments like RStudio on Amazon SageMaker, […]
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Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In addition to the interactive ML experience, data workers also seek solutions to run notebooks as ephemeral jobs without the need to refactor code as Python modules or learn DevOps tools and best practices […]
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This is a guest post co-written by Julian Blau, Data Scientist at xarvio Digital Farming Solutions; BASF Digital Farming GmbH, and Antonio Rodriguez, AI/ML Specialist Solutions Architect at AWS xarvio Digital Farming Solutions is a brand from BASF Digital Farming GmbH, which is part of BASF Agricultural Solutions division. xarvio Digital Farming Solutions offers precision […]
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Artificial intelligence (AI) is one of the most transformational technologies of our generation and provides huge opportunities to be a force for good and drive economic growth. It can help scientists cure terminal diseases, engineers build inconceivable structures, and farmers yield more crops. AI allows us to make sense of our world as never before—and […]
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I'm training a few algorithms from Deepmind's acme library on some MuJoCo models and I'm wondering how long this will take to train and what it's going to do to my electric bill.
Is a 3090 or two enough to train something to keep its balance, or do a task, or do I need to wait for the 8090 to come out?
Also, do you think there would be an advantage to writing everything in C++, from the RL algorithms in Torch to the programming of the actuators and sensors on the (real life) robot?
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Are you looking to adopt AI into your business but not sure how? A strategically chosen AI pilot project can give you the insights you need.
Read here: https://www.artiba.org/blog/heres-what-you-should-know-to-launch-your-first-ai-pilot-project
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https://www.producthunt.com/posts/inworld-arcade
https://reddit.com/link/z9is1s/video/6vhj0frs093a1/player
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As a Microsoft Certified Azure cloud specialist and DevOps automation engineer, Gavin Stevens is deeply in tune with cloud architect workflows.
The post Meet the Omnivore: Cloud Architect Takes Infrastructure Visualization to New Heights With NVIDIA Omniverse appeared first on NVIDIA Blog.
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Livermore, Calif., renowned for research and vineyards, is plowing in a new distinction: the birthplace of the first commercially available smart tractor. Local startup Monarch Tractor has announced the first of six Founder Series MK-V tractors are rolling off the production line at its headquarters. Constellation Brands, a leading wine and spirits producer and beer Read article >
The post Cheers to AI: Monarch Tractor Launches First Commercially Available Electric, ‘Driver Optional’ Smart Tractor appeared first on NVIDIA Blog.
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It’s a new month, which means GeForce NOW’s got the list of 22 new games arriving in December. Rise up for Marvel’s Midnight Suns, from publisher 2K Games, streaming on GeForce NOW later this month. Then get ready to move out, members. Battlefield 2042 is the latest game from the Electronic Arts catalog streaming on Read article >
The post GFN Thursday Dashes Into December With 22 New Games, Including ‘Marvel’s Midnight Suns’ Streaming Soon appeared first on NVIDIA Blog.
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AI Weirdness: the strange side of machine learning
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Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
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Water efficiency is one of the most precious natural resources, so it’s important to do your bit to conserve it. The last thing anyone wants is to find out they are unnecessarily overpaying when it comes to the bills. Taking note of where your company’s water is going and how you might be wasting it… Read More »How To Improve Water Efficiency for UK Businesses (2023)
The post How To Improve Water Efficiency for UK Businesses (2023) appeared first on Data Science Central.
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https://reddit.com/link/z9652a/video/matcv7lc463a1/player
The AI component is interesting as the resulting face (the combination of two people) is not a real person but looks scary accurate. Added benefit - the app lets me create an NFT with the end result! Haven't seen anything like this before ...
Give it a try, am curious to see where this goes and to hear others' thoughts on the application of AI tech as well.
I want to see how many people I can mash faces with so mash your face with mine here!
https://facely.gg/?ref=1375334554&hashedReferrer=7f8e7c25d67b8fd56eb6eb9f91a271a0
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Hi There,
If you are interested in RL. I have started a meetup for RL in Sydney, Australia.
Please join to create a community that we can discuss anything RL related.
Cheers, and see you there :)
https://www.meetup.com/reinforcement-learning/
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https://www.lesswrong.com/posts/3nMpdmt8LrzxQnkGp/ai-timelines-via-cumulative-optimization-power-less-long
TLDR: We can best predict the future by using simple models which best postdict the past (ala Bayes/Solomonoff). A simple model based on net training compute postdicts the relative performance of successful biological and artificial neural networks. Extrapolation of this model into the future leads to short AI timelines: ~75% chance of AGI by 2032.
A very interesting article. Any thoughts?
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We’re thrilled to announce that Stability AI has selected AWS as its preferred cloud provider to power its state-of-the-art AI models for image, language, audio, video, and 3D content generation. Stability AI is a community-driven, open-source artificial intelligence (AI) company developing breakthrough technologies. With Amazon SageMaker, Stability AI will build AI models on compute clusters […]
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Amazon SageMaker Autopilot, a low-code machine learning (ML) service that automatically builds, trains, and tunes the best ML models based on tabular data, is now integrated with Amazon SageMaker Pipelines, the first purpose-built continuous integration and continuous delivery (CI/CD) service for ML. This enables the automation of an end-to-end flow of building ML models using […]
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Today we are excited to announce that AI21 Jurassic-1 (J1) foundation models are available for customers using Amazon SageMaker. Jurassic-1 models are highly versatile, capable of both human-like text generation, as well as solving complex tasks such as question answering, text classification, and many others. You can easily try out this model and use it […]
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Artificial intelligence (AI) and machine learning (ML) are some of the most transformative technologies we will encounter in our generation—to tackle business and societal problems, improve customer experiences, and spur innovation. Along with the widespread use and growing scale of AI comes the recognition that we must all build responsibly. At AWS, we think responsible […]
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Hi,
Now we have a new RL meetup group in Sydney, Australia.
Please join us if you are in Sydney and interested in discussing anything RL related.
Cheers, and see you there :)
https://www.meetup.com/reinforcement-learning/
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We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction
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There’s no standard waiting time for Approval for a Personal Loan as it depends on factors like the type of lender or institution, the approval process, and credit history. Further, it depends on the type of loan requests as there are different types of personal loans, from payday loans to title loans. The approval time… Read More »How Quickly Can You Get an Approval for a Personal Loan for Buisness
The post How Quickly Can You Get an Approval for a Personal Loan for Buisness appeared first on Data Science Central.
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The promise of quantum computing is to solve unsolvable problems. And companies are already making headway with hybrid approaches — those that combine classical and quantum computing — to tackle challenges like drug discovery for incurable diseases. By accelerating drug molecule simulation and modeling with hybrid quantum computing, startup Qubit Pharmaceuticals is significantly reducing the Read article >
The post Qubit Pharmaceuticals Accelerates Drug Discovery With Hybrid Quantum Computing appeared first on NVIDIA Blog.
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The demand for cutting-edge, custom and futuristic blockchain applications is expanding in India. The number of blockchain development service providers has also increased due to a significant demand increase.
The post Top 10 Blockchain Development Companies in India 2023 appeared first on Data Science Central.
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As shipping costs have increased in recent years, it is essential to understand how to save money on freight rates. There are various ways you can reduce your costs while still providing quality customer service.
The post How to Save Money on Freight Rates Shipping appeared first on Data Science Central.
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In this article, we will learn about the constraints in SQL and how to check all the existing SQL Constraints in the table along with examples to understand the concept much better.
The post How to Check all the Existing SQL Constraints on a Table? appeared first on Data Science Central.
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Last week,meta announced a new game changing announcement called Cicero that points to a possible new future for AI.
The post Cicero from meta may foreshadow hybrid AI future architectures appeared first on Data Science Central.
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Like many other industries, accounting depends on technological advancements to maintain a competitive edge. The efficiency and precision of accounting and associated duties have greatly benefited from the advent of digital technology and the widespread availability of specialist software. Consequently, accountants will have more time to devote to strategic planning and new product development, which… Read More »Accounting Trends To Expect In 2023: Cloud Computing, Automation, And More
The post Accounting Trends To Expect In 2023: Cloud Computing, Automation, And More appeared first on Data Science Central.
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Cloud computing services have grown in popularity significantly over the years. Many sectors are moving to cloud computing services for business operations. Cloud computing enables businesses to store, manage, and process essential data using remote servers hosted on the internet.
The post Cloud Computing Services, Features and Benefits appeared first on Data Science Central.
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Hey Guys,
i stumbled upon AI Notion a couple of days ago. I am already on the waitlist, but that will probably take some months.
Wondering if anyone can recommend some other AI that can help me summarize text in german?
I have seen openai.com, but that seems to have some flaws with german text.
Thank you :)
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New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.
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New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
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Industrial leader Siemens is accelerating development of defect detection models with 3D synthetic data generation from NVIDIA Omniverse, the latest manufacturing gains to emerge from an extended partnership for the industrial metaverse that aims to advance digital twins. The Siemens Xcelerator and NVIDIA Omniverse platforms are building connections to enable full-design-fidelity, live digital twins that Read article >
The post Siemens Taps Omniverse Replicator on AWS for Synthetic Data Generation to Accelerate Defect Detection Model Development by 5X appeared first on NVIDIA Blog.
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3D artist, virtual reality expert, storyteller and educator Hsin-Chien Huang shares his unique creator journey and award-winning artwork Samsara this week In the NVIDIA Studio.
The post 3D Artist and Educator Hsin-Chien Huang Takes VR to the World Stage This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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Over the last 5 years, artificial intelligence (AI) and machine learning (ML) have evolved from a niche activity to a rapidly growing mainstream endeavor. Today, more than 100,000 customers across numerous industries rely on AWS for ML and AI initiatives that infuse AI into a broad range of business use cases to automate repetitive and […]
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What is Digital Transformation?
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AI is often perceived as a solution to the content writing crisis, but it’s not quite that simple. The technology has been around for years…
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Artificial intelligence is a field that has grown from humble beginnings to become one of the top priorities for government, businesses…
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Following these 4 quick tips can help you save big on your Azure Databricks monthly costs
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Artificial Intelligence (AI) in business impacts multiple fields, such as blockchain, education, website development, banking, data…
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I just published a blog post with many academic experiments on getting good results from Stable Diffusion 2.0, showing that negative prompts are the key with its new text encoder:
https://minimaxir.com/2022/11/stable-diffusion-negative-prompt/
I also released Colab Notebooks to reproduce the workflow and use the negative embeddings yourself (links in comment due to antispam filters for too many URLs)
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In 2019, Amazon co-founded the climate pledge. The pledge’s goal is to achieve net zero carbon by 2040. This is 10 years earlier than the Paris agreement outlines. Companies who sign up are committed to regular reporting, carbon elimination, and credible offsets. At the time of this writing, 377 companies have signed the climate pledge, […]
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Amazon Kendra is an intelligent search service powered by machine learning (ML). Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. Amazon Kendra users can now quickly find the […]
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Amazon CodeWhisperer is a machine learning (ML)-powered service that helps improve developer productivity by generating code recommendations based on developers’ prior code and comments. Today, we are excited to announce that AWS administrators can now enable CodeWhisperer for their organization with single sign-in (SSO) authentication. Administrators can easily integrate CodeWhisperer with their existing workforce identity […]
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Two NVIDIA Research papers — one exploring diffusion-based generative AI models and another on training generalist AI agents — have been honored with NeurIPS 2022 Awards for their contributions to the field of AI and machine learning. These are among more than 60+ talks, posters and workshops with NVIDIA authors being presented at the NeurIPs Read article >
The post NVIDIA Wins NeurIPS Awards for Research on Generative AI, Generalist AI Agents appeared first on NVIDIA Blog.
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Delivering AI-accelerated healthcare at scale will take thousands of neural networks working together to cover the breadth of human physiology, diseases and even hospital operations — a significant challenge in today’s smart hospital environment. MONAI, an open-source medical-imaging AI framework with more than 650,000 downloads, accelerated by NVIDIA, is making it easier to integrate these Read article >
The post MAP Once, Run Anywhere: MONAI Introduces Framework for Deploying Medical Imaging AI Apps appeared first on NVIDIA Blog.
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A consortium of 10 National Health Service Trusts — the publicly funded healthcare system in England — is now deploying the MONAI-based AIDE platform across four of its hospitals, providing AI-enabled disease-detection tools to healthcare professionals serving 5 million patients a year. AIDE, short for AI Deployment Engine, is expected to be rolled out next Read article >
The post NVIDIA Partners With NHS Trusts to Deploy AI Platform in UK Hospitals appeared first on NVIDIA Blog.
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https://www.youtube.com/watch?v=t6RKE2f6BOc
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I'm looking for upcoming RL competitions, and hopefully some blog/site that updates this information regularly. I used to follow https://github.com/seungjaeryanlee/awesome-rl-competitions but it hasn't been updated in a while.
Thanks in advance!
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https://youtu.be/ciNMc0Czmfc
A team from Meta AI has developed Cicero, an agent that can play the game Diplomacy, in which players have to communicate via chat messages to coordinate and plan into the future.
OUTLINE:
0:00 - Introduction
9:50 - AI in cooperation games
13:50 - Cicero agent overview
25:00 - A controllable dialogue model
36:50 - Dialogue-conditional strategic planning
49:00 - Message filtering
53:45 - Cicero's play against humans
55:15 - More examples & discussion
Homepage: https://ai.facebook.com/research/cicero/
Code: https://github.com/facebookresearch/diplomacy_cicero
Blog: https://ai.facebook.com/blog/cicero-ai-negotiates-persuades-and-cooperates-with-people/
Paper: https://www.science.org/doi/10.1126/science.ade9097
Abstract:
Despite much progre…
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Pheon Inc. designed the technology allowing to digitally "clone" people and create their Digital Twins. Based on a set of videos, a short bio and a detailed questionnaire the team can create a realistic video-based AI-powered chatbot that looks, sounds and communicates like its human "prototype".
The technology consists of three major components: a conversational algorithm, a lipsync and a voice modulation system. A conversational model is based on an NLP pipeline with GPT in its core.
One of Pheon's engineers volunteered to be the first model, but as the AI training dataset grew bigger, the effort for creating new chatbots was minimized. Now, to create a "digital twin" for someone all that's required is their consent.
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Our company, Pheon, designed the technology allowing to digitally "clone" people and create their so called digital twins. Based on a set of videos, a short bio and a detailed questionnaire we can create a realistic video-based AI-powered chatbot that looks, sounds and, most importantly, communicates just like its human "prototype".
The technology consists of three major components: a conversational algorithm, a lipsync and a voice modulation system. A conversational model is based on an NLP pipeline that we created and has GPT in its core plus our proprietary add-ons.
One of our engineers volunteered to be our first model, but as the AI training dataset grew bigger, we managed to minimize the effort for creating new chatbots. Now, creating a "digital twin" for practically anyone is a matter of minutes.
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Despite being a general-purpose language, Python is considered the best programming language for the most complex technologies like Artificial Intelligence.
Read more: https://www.artiba.org/blog/your-perfect-guide-to-understand-the-role-of-python-in-artificial-intelligence
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Machine learning (ML) models are taking the world by storm. Their performance relies on using the right training data and choosing the right model and algorithm. But it doesn’t end here. Typically, algorithms defer some design decisions to the ML practitioner to adopt for their specific data and task. These deferred design decisions manifest themselves […]
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Elm's PyStudio is an open-source machine learning platform to train and deploy ML models in a workflow environment. It allows you to go from preparing data to deploying a model within minutes. PyStudio is designed to avoid coding in ML experiments just drag and drop, some features are the following:
Preprocessing (Data Preparation, Feature Engineering and Feature Selection)
Model Selection (over 20 ready-to-use algorithms)
Model Evaluation for classification and regression.
Exposing Model as a service.
Easy way to integrate your algorithms in the studio.
Our repo:https://github.com/elmpystudio/pyStudio
Check out PyStudio video to get clearer about our stuff!
https://youtu.be/sbbsViwPh20
about our Twitter, website and so on...
We are working on that! :)
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LLPG stalled or diverged with Humanoid-v2, so I tried to understand the problem:
Imagine training DDPG(1step),TD3(2-4steps) algoritms with batch size of 128.
At the beginning when you fully explore the Environment with random actions, you gather Replay Buffer with "big data",e.g. with 10,000 transitions, then you start training 1-4 steps at a time. You need such a high speed to learn what you have gathered. But new data comes only by 1-4 steps, and your batch size is 128. In other words you analyze 128 steps, where only 4 of them are new. At the beginning when you train it can be logical, but you have to take into consideration that you need to loose training, decrease learning rate or to have noise factor which counters overtraining (like in SAC it is done through compensation to the no…
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Elm's PyStudio is an open-source machine learning platform to train and deploy ML models in a workflow environment. It allows you to go from preparing data to deploying a model within minutes. PyStudio is designed to avoid coding in ML experiments just drag and drop, some features are the following:
Preprocessing (Data Preparation, Feature Engineering and Feature Selection)
Model Selection (over 20 ready-to-use algorithms)
Model Evaluation for classification and regression.
Exposing Model as a service.
Easy way to integrate your algorithms in the studio.
Our repo:
https://github.com/elmpystudio/pyStudio
Check out PyStudio video to get clearer about our stuff!
https://youtu.be/sbbsViwPh20
about our Twitter, website and so on...
We are working on that! :)
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Black Friday is now Green Thursday with a great deal on GeForce NOW this week. For a limited time, get a free $20-value GeForce NOW membership gift card with every purchase of a $50-value GeForce NOW membership gift card. Treat yourself and a buddy to high-performance cloud gaming — there’s never been a better time Read article >
The post Turn Black Friday Into Green Thursday With New GeForce NOW Deal appeared first on NVIDIA Blog.
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Today if we define white label SEO services, Every company tries to get good rankings on Google to reach their target audience and bring them traffic. They hire someone else (an SEO agency or freelancer) to optimize their websites and rank higher on Google. This term has become quite common in recent years, especially after… Read More »How Would You Define White Label SEO Services? Is It Outsourcing?
The post How Would You Define White Label SEO Services? Is It Outsourcing? appeared first on Data Science Central.
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This is a guest post by Stephen Carrad, Vice President at JP Morgan Chase & Co. JPMorgan & Chase Co. started its cloud journey four years ago, building the integrations required to deploy cloud-native applications into the cloud in a resilient and secure manner. In the first year, three applications tentatively dipped their toes into […]
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Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to perform every step of the ML workflow, from preparing data to building, training, tuning, and deploying models. Studio comes with built-in integration with Amazon EMR so that data scientists can interactively prepare data at […]
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Cardiovascular diseases (CVDs) are the number one cause of death globally: more people die each year from CVDs than from any other cause. The COVID-19 pandemic made organizations change healthcare delivery to reduce staff contact with sick people and the overall pressure on the healthcare system. This technology enables organizations to deliver telehealth solutions, which […]
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Twitter link: https://twitter.com/SchmidhuberAI/status/1594964463727570945?s=20&t=sfyH7mezXDl_E6tZR93khg
Blog post: https://people.idsia.ch/~juergen/lecun-rehash-1990-2022.html#addendum2
Schmidhuber strikes back against Lecun again
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While the comparison table in this article applies to a specific problem in FinTech, the conclusions are consistent with findings in other frameworks. There is no single method that outperforms all the other ones, for obvious reasons. To be the global winner means winning on all potential datasets. The immense majority of datasets are pure… Read More »How to Choose the Best Machine Learning Technique: Comparison Table
The post How to Choose the Best Machine Learning Technique: Comparison Table appeared first on Data Science Central.
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I've remarked more than once that the life cycle of social media platforms shares more than a passing resemblance to the evolution of stars.
The post DSC Weekly 22 Nov 2022: Destruction of the Commons appeared first on Data Science Central.
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Do you have a small business, or have you started a new business venture? Are people talking about it? If you stand clueless about this, then you are doing something wrong.
The post Using ORMs to Promote Positive Reviews appeared first on Data Science Central.
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The MIT senior will pursue postgraduate studies in computer science in Ireland.
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New research reveals a scalable technique that uses synthetic data to improve the accuracy of AI models that recognize images.
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New system can teach a group of cooperative or competitive AI agents to find an optimal long-term solution.
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Hi all,
Link to Video
Just wanted to alert the RL community of a cool new open-source tool that was just released. Kangas Datagrid is like Excel/Pandas but for Images! It's super easy to use and install! Check out the repository and also a live interactive demo here!
Was able to create a simple DataGrid Gymnasium Wrapper which I passed my environment to auto-log the observation, action, rewards, and boolean values to my Replay Buffer DataGrid
Hope you can see the value this tool has to the RL community. and feel free to give feedback and contribute to the project!
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This post describes a case study where several different large language models (GPT-3, FLAN, Cohere, AI21) were used to label training data for a dramatically smaller model (RoBERTa) that gets the same score on a tough benchmark task, but is 1000x cheaper to deploy. It's interesting to note that using just one of the large language models to label the training data leaves quite a few points on the table; best results come from combining their various proposed labels. So it's not just model distillation—it's classic weak supervision (combining multiple noisy sources of signal to produce higher quality labels in large quantities). Has anyone else tried something similar?
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Do you remember those high school days when there was always this one cliché to which all the “kool” kids belonged? The “Kool Kids Klub” members held the best parties, got the best dates, got into the right colleges, got the right jobs, and married the right partners. And they accomplished all this cool stuff right in front of everyone, yet no one could figure out what made them so cool.
The post Digital Age Kool Kids Klub: Chief Data Officers and Chief Economists appeared first on Data Science Central.
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The last few weeks have been bad for tech But one announcement caught my attention It has not been so widely covered But in a previous blog here, I had suggested that it was a risk for generative AI because it was entering uncharted legal waters A class action lawsuit has been filed against github… Read More »Github copilot class action lawsuit – Uncharted waters for generative AI
The post Github copilot class action lawsuit – Uncharted waters for generative AI appeared first on Data Science Central.
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https://www.youtube.com/watch?v=Y1HWqjCZv0g
This is an AI talk show I made between Elon Musk and Socrates Talking about free speech, democracy, and artificial intelligence. I made using 5/6 different models together to generate text, Video, lip movement, audio, and more. Any suggestions or feedback are very welcome.
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In the NVIDIA Studio artists have sparked the imagination of and inspired countless creators to exceed their creative ambitions and do their best work.
The post Creators and Artists Take the Spotlight This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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Amazon Rekognition is a computer vision service that makes it simple to add image and video analysis to your applications using proven, highly scalable, deep learning technology that does not require machine learning (ML) expertise. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos and detect inappropriate content. […]
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Amazon Forecast is a fully managed service that uses statistical and machine learning (ML) algorithms to deliver highly accurate time-series forecasts. Recently, based on Amazon Forecast, we helped one of our retail customers achieve accurate demand forecasting, within 8 weeks. The solution improved the manual forecast by an average of 10% in regards to the […]
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Enterprises often need to communicate effectively to a large base of customers, partners, and stakeholders across several different languages. They need to translate and localize content such as marketing materials, product content assets, operational manuals, and legal documents. Each business unit in the enterprise has different translation workloads and often manages their own translation requirements […]
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This is a guest blog post co-written with Minghui Yu and Jianzhe Xiao from Bytedance. ByteDance is a technology company that operates a range of content platforms to inform, educate, entertain, and inspire people across languages, cultures, and geographies. Users trust and enjoy our content platforms because of the rich, intuitive, and safe experiences they […]
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Companies that sell products or services online need to constantly monitor customer reviews left on their website after purchasing a product. The company’s marketing and customer service departments analyze these reviews to understand customer sentiment. For example, marketing could use this data to create campaigns targeting different customer segments. Customer service departments could use this […]
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Amazon Rekognition offers pre-trained and customizable computer vision capabilities to extract information and insights from images and videos. One such capability is Amazon Rekognition Labels, which detects objects, scenes, actions, and concepts in images. Customers such as Synchronoss, Shutterstock, and Nomad Media use Amazon Rekognition Labels to automatically add metadata to their content library and […]
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Now with Amazon Forecast, you can generate up to 45% more accurate forecasts for products with no historical data. Forecast is a managed service that uses machine learning (ML) to generate accurate demand forecasts, without requiring any ML experience. Accurate forecasting is the foundation for inventory optimization, logistics planning, and workforce management and it enables […]
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Hi guys,
I have made a video on YouTube here where I explain why neural networks are considered universal function approximators.
I hope it may be of use to some of you out there. As always, feedback is more than welcomed! :)
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Hey all! Working on MLOps without the resources of big tech? Everything you’ve always wanted to know about Reasonable Scale MLOps will be uncovered by Ciro Greco (Ex-Vice President of AI at Coveo, co-founder and CEO at Tooso) and Jacopo Tagliabue (Ex-Director of AI at Coveo, co-fonder and CTO at Tooso) in an upcoming Sphere course in the spring.
At its essence, Reasonable Scale means that ML systems should be designed and deployed with four explicit constraints in mind:
Financial impact
Team size
Data volume
Computing resources
The course will focus on the link between MLOps and business strategy: because Reasonable Scale companies have several constraints, choices that appear exquisitely technical can play a very deep role in implementing a sound business strategy.
You’ll have the opportunity to learn from Ciro and Jacopo’s experience from garage, scale-up and IPO scale where they had the opportunity to learn from their mistake and with Coveo contribute to R&D research in EcommerceAI more than any other company in 2020 (second only to Amazon).
Find out more and join them for some hard-won MLOps wisdom from the trenches: https://www.getsphere.com/cohorts/machine-learning-at-reasonable-scale?source=Sphere-Communities-r-artificial
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Special Request!
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Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. These documents contain critical information that’s key to making important business decisions. As an organization grows, […]
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Minerva CQ, a startup based in the San Francisco Bay Area, is making customer service calls quicker and more efficient for both agents and customers, with a focus on those in the energy sector. The NVIDIA Inception member’s name is a mashup of the Roman goddess of wisdom and knowledge — and collaborative intelligence (CQ), Read article >
The post Startup Uses Speech AI to Coach Contact-Center Agents Into Boosting Customer Satisfaction appeared first on NVIDIA Blog.
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AI Weirdness: the strange side of machine learning
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It seems like it's every couple of months that a big tech company releases a language model that's supposed to do amazing things.
The Allen Institute for AI's Delphi, whose authors said it "demonstrates strong promise of language-based commonsense moral reasoning" would
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https://youtu.be/-PY8FS1iB2c
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Here is a podcast episode with Archit Sharma where we discuss his work on unsupervised, non-episodic, autonomous reinforcement learning, and much more!
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Here is a podcast episode with Archit Sharma where we discuss his work on unsupervised, non-episodic, autonomous reinforcement learning, and much more!
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https://www.youtube.com/watch?v=hA3UUlLuwr4
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Here is a podcast episode with Archit Sharma where we discuss his work on unsupervised, non-episodic, autonomous reinforcement learning, and much more!
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AutoGluon-TimeSeries is the latest addition to AutoGluon, which helps you easily build powerful time series forecasting models with as little as three lines of code. Time series forecasting is a common task in a wide array of industries as well as scientific domains. Having access to reliable forecasts for supply, demand, or capacity is crucial […]
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AWS re:Invent season is upon us again! Just a few days to go until re:Invent takes place for the 11th year in Las Vegas, Nevada. The Artificial Intelligence and Machine Learning team at AWS has been working hard to offer amazing content, an outstanding AWS DeepRacer experience, and much more. In this post, we give […]
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Museumgoers will be able to explore two sunken WWII ships as if they were scuba divers on the ocean floor, thanks to work at Curtin University in Perth, Australia. Exhibits in development, for display in Australia and potentially further afield, will use exquisitely detailed 3D models the researchers are creating to tell the story of Read article >
The post See a Sea Change: 3D Researchers Bring Naval History to Life appeared first on NVIDIA Blog.
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Today, we announce the public availability of Amazon’s state-of-the-art Alexa Teacher Model with 20 billion parameters (AlexaTM 20B) through Amazon SageMaker JumpStart, SageMaker’s machine learning hub. AlexaTM 20B is a multilingual large-scale sequence-to-sequence (seq2seq) language model developed by Amazon. You can use AlexaTM 20B for a wide range of industry use-cases, from summarizing financial reports […]
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Learn how Yara is using Amazon SageMaker features, including the model registry, Amazon SageMaker Model Monitor, and Amazon SageMaker Pipelines to streamline the machine learning (ML) lifecycle by automating and standardizing MLOps practices. We provide an overview of the setup, showcasing the process of building, training, deploying, and monitoring ML models for plants around the globe.
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Image classification is a computer vision-based machine learning (ML) technique that allows you to classify images. Some well-known examples of image classification include classifying handwritten digits, medical image classification, and facial recognition. Image classification is a useful technique with several business applications, but building a good image classification model isn’t trivial. Several considerations can play […]
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Organizations are using machine learning (ML) and AI services to enhance customer experience, reduce operational cost, and unlock new possibilities to improve business outcomes. Data underpins ML and AI use cases and is a strategic asset to an organization. As data is growing at an exponential rate, organizations are looking to set up an integrated, […]
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Meet the electric SUV with magnetic appeal. Lucid Group unveiled its next act, the Gravity SUV, during the AutoMobility Los Angeles auto show. The automaker also launched additional versions of the hit Lucid Air sedan — Air Pure and Air Touring. Both models offer the future-ready DreamDrive Pro driver-assistance system, powered by the NVIDIA DRIVE Read article >
The post A Force to Be Reckoned With: Lucid Group Reveals Gravity SUV, Built on NVIDIA DRIVE appeared first on NVIDIA Blog.
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Gaming in the living room is getting an upgrade with GeForce NOW. This GFN Thursday, kick off the weekend streaming GeForce NOW on Samsung TVs, with upcoming support for 4K resolution. Get started with the 10 new titles streaming this week. Plus, Yes by YTL Communications, a leading 5G provider in Malaysia, today announced it Read article >
The post Get the Big Picture: Stream GeForce NOW in 4K Resolution on Samsung Smart TVs appeared first on NVIDIA Blog.
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The U.S. National Oceanic and Atmospheric Administration has selected Lockheed Martin and NVIDIA to build a prototype system to accelerate outputs of Earth Environment Monitoring and their corresponding visualizations. Using AI techniques, such a system has the potential to reduce by an order of magnitude the amount of time necessary for the output of complex Read article >
The post Lockheed Martin, NVIDIA to Help US Speed Climate Data to Researchers appeared first on NVIDIA Blog.
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It’s good to have your business listed on top free business directories. Apart from increasing the visibility of your company, you will also get many benefits from it. People will know about your business and they might even be able to find it with ease. If you have a small business or a startup. Listing… Read More »List Your Business on Top Free Business Directories in the USA
The post List Your Business on Top Free Business Directories in the USA appeared first on Data Science Central.
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Sponsored Post Attend the Data Science Symposium 2022 on November 8 The Center for Business Analytics at the University of Cincinnati will present its annual Data Science Symposium 2022 on November 8. This all day in-person event will have three featured speakers and two tech talk tracks with four concurrent presentations in each track. The […]
The post Attend the Data Science Symposium 2022, November 8 in Cincinnati appeared first on Machine Learning Mastery.
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